{"id":"W6976932519","doi":"10.6068/dp15df3a7b7fb58","title":"Trend 1961 - 2013. Food and Agriculture Organization of the United Nations. Food and Agriculture Organization Statistics: Production - Crops | Country: Canada | Item: Carrots and turnips | Element: Yield - Hg/Ha, 1961-2013. Data-Planet™ Statistical Ready Reference by Conquest Systems, Inc. Dataset-ID: 067-001-012.","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Yield (engineering); Production (economics); Threshing; Crop; Scarcity; Crop yield","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001783642,0.002137878,0.001949274,0.005847602,0.001264249,0.003377988,0.003834222,0.001287192,0.08211827],"category_scores_gemma":[0.01259803,0.001101212,0.001390429,0.02789941,0.0004808027,0.002670114,0.001627165,0.002668363,0.08026435],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009276195,"about_ca_system_score_gemma":0.02023153,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.759524,"about_ca_topic_score_gemma":0.7135847,"domain_scores_codex":[0.9978417,0.0001808209,0.0002308667,0.0004314609,0.000899048,0.0004160624],"domain_scores_gemma":[0.9864404,0.001027632,0.0009347599,0.0008727969,0.01003516,0.0006893292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002457561,0.000007837507,0.000713604,0.0002621468,0.00001774902,0.000005473602,0.00001081764,0.000108353,0.00001682541,0.0002900868,0.9972479,0.00129456],"study_design_scores_gemma":[0.00009311334,0.000009030971,0.01073098,0.0004879258,0.00002708006,0.00001395845,0.0001509521,0.0001880636,0.0001371587,0.0005067312,0.9876189,0.00003602185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00002899639,0.00002468625,0.00001655829,0.00003906821,0.00001608507,0.000005713121,0.9993969,0.00003675639,0.0004351455],"genre_scores_gemma":[0.0002032654,0.00007523167,0.0001281466,0.00003363683,0.000007414415,0.00004912461,0.9985436,0.000043776,0.0009157021],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.240476,"threshold_uncertainty_score":0.4837843,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01698687111483635,"score_gpt":0.2221646587100098,"score_spread":0.2051777875951734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}